Evidence map›Paper›PMID 36778534›Full record

ArticleJournal of transport & health2023

Road crashes in Adelaide metropolitan region, the consequences of COVID-19.

Ali Soltani, Mohammad Azmoodeh, Mohsen Roohani Qadikolaei

Abstract read
In one paragraph

Article in Journal of transport & health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Frequency and patterns of CMF emergency cases during and after COVID-19.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ali SoltaniInjury Studies, Flinders Health and Medical Research Institute, Bedford Park, SA, 5042, Australia.
Mohammad AzmoodehDepartment of Transportation and Highway, Babol Noshirvani University of Technology, Babol, Iran.
Mohsen Roohani QadikolaeiDepartment of Urban Planning, University of Guilan, Rasht, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many countries instituted lockdown rules as the COVID-19 pandemic progressed, however, the effects of COVID-19 on transportation safety vary widely across countries and regions. In several situations, it has been shown that although the COVID-19 closure has decreased average traffic flow, it has also led to an increase in speeding, which will indeed increase the severity of crashes and the number of fatalities and serious injuries. Methods: At the local level, Generalized linear Mixed (GLM) modelling is used to look at how often road crashes changed in the Adelaide metropolitan area before and after the COVID-19 pandemic. The Geographically Weighted Generalized Linear Model (GWGLM) is also used to explore how the association between the number of crashes and the factors that explain them varies across census blocks. Using both no-spatial and spatial models, the effects of urban structure elements like land use mix, road network design, distance to CBD, and proximity to public transit on the frequency of crashes at the local level were studied. Results: This research showed that lockdown orders led to a mild reduction (approximately 7%) in crash frequency. However, this decrease, which has occurred mostly during the first three months of the lockdown, has not systematically alleviated traffic safety risks in the Greater Adelaide Metropolitan Area. Crash hotspots shifted from areas adjacent to workplaces and education centres to green spaces and city fringes, while crash incidence periods switched from weekdays to weekends and winter to summer. Implications: The outcomes of this research provided insights into the impact of shifting driving behaviour on safety during disorderly catastrophes such as COVID-19.

Indexed as

ABS, Australian bureau of statisticsAdelaideCBD, Central business districtCOVID-19COVID19, Coronavirus disease of 2019GLMGLM, Generalized linear modelGWGLMGWGLM, Geographically weighted generalized linear modelGWR, Geographically weighted regressionInjuryLGA, Local government areaPDO, Property damage onlyRV, Response variableSA1, Statistical area level 1TAZ, Traffic analysis zoneTraffic crash

Identifiers

PMID36778534
PMCPMC9894777

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.